A1 Journal article (refereed)
Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds (2016)

Chang, Z., Gong, J., Li, Y., Zhou, Z., Ristaniemi, T., Shi, G., Han, Z., & Niu, Z. (2016). Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds. IEEE Journal on Selected Areas in Communications, 34(12), 3438-3450. https://doi.org/10.1109/JSAC.2016.2611843

JYU authors or editors

Publication details

All authors or editors: Chang, Zheng; Gong, Jie; Li, Yingyu; Zhou, Zhenyu; Ristaniemi, Tapani; Shi, Guangming; Han, Zhu; Niu, Zhisheng

Journal or series: IEEE Journal on Selected Areas in Communications

ISSN: 0733-8716

eISSN: 1558-0008

Publication year: 2016

Volume: 34

Issue number: 12

Pages range: 3438-3450

Publisher: Institute of Electrical and Electronics Engineers

Place of Publication: Piscataway

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/JSAC.2016.2611843

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/52633


In order to fully enjoy high rate broadband multimedia services, prolonging the battery lifetime of user equipment is critical for mobile users, especially for smartphone users. In this paper, the problem of distributing cellular data via a wireless power transfer enabled collaborative mobile cloud (WeCMC) in an energy efficient manner is investigated. WeCMC is formed by a group of users who have both functionalities of information decoding and energy harvesting, and are interested for cooperating in downloading content from the operators. Through device-to-device communications, the users inside WeCMC are able to cooperate during the downloading procedure and offload data from the base station to other WeCMC members. When considering multi-input multi-output wireless channel and wireless power transfer, an efficient algorithm is presented to optimally schedule the data offloading and radio resources in order to maximize energy efficiency as well as fairness among mobile users. Specifically, the proposed framework takes energy minimization and quality of service requirement into consideration. Performance evaluations demonstrate that a significant energy saving gain can be achieved by the proposed schemes.

Keywords: energy efficiency

Free keywords: collaborative mobile clouds; content distribution; wireless power transfer; resources allocation

Contributing organizations

Related projects

Ministry reporting: Yes

Reporting Year: 2016

JUFO rating: 3

Last updated on 2021-10-06 at 13:43